定义和比较"引文"和"引用"两个紧密相关而又相互独立的概念,并基于Journal of Informetrics(JOI)期刊中的论文数据进行相关的实证分析。通过从JOI期刊全文数据中识别出在正文中出现的引用信息,统计文章中引用个数...定义和比较"引文"和"引用"两个紧密相关而又相互独立的概念,并基于Journal of Informetrics(JOI)期刊中的论文数据进行相关的实证分析。通过从JOI期刊全文数据中识别出在正文中出现的引用信息,统计文章中引用个数的分布情况,计算引用个数与引文篇数之间的相关系数,分析引用和引文之间的多对多关系,并提出一种新的加权的计算引文总被引次数的方法。结果表明,这种方法可以更早地识别出最新发表的高被引论文,因此在科学预见和科学评价方面具有重要的应用价值和前景。展开更多
【目的】分析Web of Science（WoS）数据库近十年撤销论文的引证特征,探究撤销行为对学术界的净化效果。【方法】分析撤销论文数量、被引频次等信息和期刊影响因子（impact factor,IF）的相关性,撤销时滞与论文被引频次的相关性;计算高...【目的】分析Web of Science（WoS）数据库近十年撤销论文的引证特征,探究撤销行为对学术界的净化效果。【方法】分析撤销论文数量、被引频次等信息和期刊影响因子（impact factor,IF）的相关性,撤销时滞与论文被引频次的相关性;计算高被引撤销论文对IF的贡献率;评价撤销时滞对撤销前、后被引频次的影响。【结果】76种期刊（撤销论文数量≥5篇）IF和撤销论文数量、总被引频次、撤销后被引频次、篇均被引频次相关（均为P〈0.05）。撤销时滞和撤销论文总被引频次相关（P=0.000）。随撤销时滞延长,撤销前被引频次逐渐增大。高被引撤销论文对期刊IF的贡献率为0.00%~2.00%。【结论】高IF期刊发表的、撤销时滞长的撤销论文对学术界的负影响较大;肯定期刊进行自我净化效果的同时,建议科研管理部门、期刊编辑和科研人员等加强对撤销论文及其不良影响的关注。展开更多
The data of this research was mainly collected from the Web of Science (WOS) and Incites database platform, which was filtered and cataloged according to the different platforms. For tracing the change in scientific r...The data of this research was mainly collected from the Web of Science (WOS) and Incites database platform, which was filtered and cataloged according to the different platforms. For tracing the change in scientific research at Shanghai Ocean University, make use of Bibliometric analysis to get the image and table of highly cited papers and hot papers. In this study, the scientific aspects in highly cited papers and hot papers, published in the last year in the core collection of Web of Science, were taken as objects, and office software was used as the main tool to carry out bibliometric and figure analysis. From the four aspects to find the difference in these fields, the production of specific fields and cited times is inconsistent. And suggest the department and management adjust the policy and method via elastic personnel and rewards to prompt the advancement of the research fields.展开更多
Purpose： Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of us...Purpose： Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of usage count as a new indicator to detect research fronts in shortening the time lag of classic indicators in research fronts detection. Design/methodology/approach： An exploratory study was conducted where the new indicator ＂usage count＂ was compared to the traditional citation count, ＂times cited,＂ in detecting research fronts of the regenerative medicine domain. An initial topic search of the term ＂regenerative medicine＂ returned 10,553 records published between 2000 and 2015 in the Web of Science （WoS）. We first ranked these records with usage count and times cited, respectively, and selected the top 2,000 records for each. We then performed a co-citation analysis in order to obtain the citing papers of the co-citation clusters as the research fronts. Finally, we compared the average publication year of the citing papers as well as the mean cited year of the co-citation clusters. Findings： The citing articles detected by usage count tend to be published more recently compared with times cited within the same research front. Moreover, research fronts detected by usage count tend to be within the last two years, which presents a higher immediacy and real-time feature compared to times cited. There is approximately a three-year time span among the mean cited years （known as ＂intellectual base＂） of all clusters generated by usage count and this figure is about four years in the network of times cited. In comparison to times cited, usage count is a dynamic and instant indicator. Research limitations： We are trying to find the cutting-edge research fronts, but those generated based on co-citations may refer to the hot research fronts. The usage count of older highly cited papers was not taken into consideration, because the usage count indicator released by WoS only reflects展开更多
With the emergence and further development of the digital library, the approaches of information acquisition correspondingly change a lot. This paper makes a statistical analysis on the journal downloading and citatio...With the emergence and further development of the digital library, the approaches of information acquisition correspondingly change a lot. This paper makes a statistical analysis on the journal downloading and citation behaviors under the digital environment conceived by the National Science Library(NSL), Chinese Academy of Sciences(CAS). It can be seen that the development of digital resources has influenced scientific research behaviors. For example, the large quantity of full-text downloading will maintain; the trend of journal downloading behaviors is basically same as the journal citation behavior; journals with large quantity of full-text downloading also boast the high cited times, and vice versa. Furthermore, authors make a linear regression analysis, with the journal downloading amount as the independent variable and journal cited times as dependent variable. Then they also prove the positive correlation between the journal downloading and citation behaviors by means of Pearson's correlation coefficient formula.展开更多
Open-access(OA)Papers'impact research has become more and more popular in scientific evaluation,and it is also an important issue that scientific research management departments have been discussing.Since previous...Open-access(OA)Papers'impact research has become more and more popular in scientific evaluation,and it is also an important issue that scientific research management departments have been discussing.Since previous studies have focused on the influence of traditional literature indicators research papers,this study combines traditional literature indicators and Altmetrics indexes.This article uses the data of Chinese social science open-access(OA)papers in WoS for the past 5 years as a sample and uses descriptive statistics,correlation analysis,and regression analysis to explore the impact of traditional paper indicators and Altmetrics indexes on the use of papers.The results show that both literature indexes and social media indexes have a significant impact on the use of papers,and deepen the understanding of the impact factor of research papers.Overall,the results of this study prove that traditional literature indexes and social media indexes have an impact on the use of papers.This method promotes the role of social media indexes in the influence of paper use.Finally,the reasons for the influence factors of the paper are analyzed,and relevant suggestions are put forward.展开更多
Introduction Publication Name=Neural Regeneration Research （NRR） Timespan=2008-2011. Databases=SCI-EXPANDED, SSCI, A＆HCI, CPCI-S, CPCI-SSH. Web of Science Categories： CELL BIOLOGY （938）, NEUROSCIENCE （938） Doc...Introduction Publication Name=Neural Regeneration Research （NRR） Timespan=2008-2011. Databases=SCI-EXPANDED, SSCI, A＆HCI, CPCI-S, CPCI-SSH. Web of Science Categories： CELL BIOLOGY （938）, NEUROSCIENCE （938） Document Types： ARTICLE （922）, REVIEW （13）, EDITORIAL MATERIAL （2）, LETTER （1） Search time： 23/06/2011 A total of 938 articles published till the search time in NRR are searched, including 315 papers published in 2008, 185 in 2009, 321 in 2010, and 117 in 2011. Totally 111 papers have been cited and the total number of citations is 171. There are 76 self-citations, and 95 non-self citations, which are scattered in 85 journals. The citation situations are listed as follows.展开更多
文摘定义和比较"引文"和"引用"两个紧密相关而又相互独立的概念,并基于Journal of Informetrics(JOI)期刊中的论文数据进行相关的实证分析。通过从JOI期刊全文数据中识别出在正文中出现的引用信息,统计文章中引用个数的分布情况,计算引用个数与引文篇数之间的相关系数,分析引用和引文之间的多对多关系,并提出一种新的加权的计算引文总被引次数的方法。结果表明,这种方法可以更早地识别出最新发表的高被引论文,因此在科学预见和科学评价方面具有重要的应用价值和前景。
文摘【目的】分析Web of Science（WoS）数据库近十年撤销论文的引证特征,探究撤销行为对学术界的净化效果。【方法】分析撤销论文数量、被引频次等信息和期刊影响因子（impact factor,IF）的相关性,撤销时滞与论文被引频次的相关性;计算高被引撤销论文对IF的贡献率;评价撤销时滞对撤销前、后被引频次的影响。【结果】76种期刊（撤销论文数量≥5篇）IF和撤销论文数量、总被引频次、撤销后被引频次、篇均被引频次相关（均为P〈0.05）。撤销时滞和撤销论文总被引频次相关（P=0.000）。随撤销时滞延长,撤销前被引频次逐渐增大。高被引撤销论文对期刊IF的贡献率为0.00%~2.00%。【结论】高IF期刊发表的、撤销时滞长的撤销论文对学术界的负影响较大;肯定期刊进行自我净化效果的同时,建议科研管理部门、期刊编辑和科研人员等加强对撤销论文及其不良影响的关注。
文摘The data of this research was mainly collected from the Web of Science (WOS) and Incites database platform, which was filtered and cataloged according to the different platforms. For tracing the change in scientific research at Shanghai Ocean University, make use of Bibliometric analysis to get the image and table of highly cited papers and hot papers. In this study, the scientific aspects in highly cited papers and hot papers, published in the last year in the core collection of Web of Science, were taken as objects, and office software was used as the main tool to carry out bibliometric and figure analysis. From the four aspects to find the difference in these fields, the production of specific fields and cited times is inconsistent. And suggest the department and management adjust the policy and method via elastic personnel and rewards to prompt the advancement of the research fields.
基金supported by the National Social Science Foundation of China(Grant No.:14BTQ030)
文摘Purpose： Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of usage count as a new indicator to detect research fronts in shortening the time lag of classic indicators in research fronts detection. Design/methodology/approach： An exploratory study was conducted where the new indicator ＂usage count＂ was compared to the traditional citation count, ＂times cited,＂ in detecting research fronts of the regenerative medicine domain. An initial topic search of the term ＂regenerative medicine＂ returned 10,553 records published between 2000 and 2015 in the Web of Science （WoS）. We first ranked these records with usage count and times cited, respectively, and selected the top 2,000 records for each. We then performed a co-citation analysis in order to obtain the citing papers of the co-citation clusters as the research fronts. Finally, we compared the average publication year of the citing papers as well as the mean cited year of the co-citation clusters. Findings： The citing articles detected by usage count tend to be published more recently compared with times cited within the same research front. Moreover, research fronts detected by usage count tend to be within the last two years, which presents a higher immediacy and real-time feature compared to times cited. There is approximately a three-year time span among the mean cited years （known as ＂intellectual base＂） of all clusters generated by usage count and this figure is about four years in the network of times cited. In comparison to times cited, usage count is a dynamic and instant indicator. Research limitations： We are trying to find the cutting-edge research fronts, but those generated based on co-citations may refer to the hot research fronts. The usage count of older highly cited papers was not taken into consideration, because the usage count indicator released by WoS only reflects
文摘With the emergence and further development of the digital library, the approaches of information acquisition correspondingly change a lot. This paper makes a statistical analysis on the journal downloading and citation behaviors under the digital environment conceived by the National Science Library(NSL), Chinese Academy of Sciences(CAS). It can be seen that the development of digital resources has influenced scientific research behaviors. For example, the large quantity of full-text downloading will maintain; the trend of journal downloading behaviors is basically same as the journal citation behavior; journals with large quantity of full-text downloading also boast the high cited times, and vice versa. Furthermore, authors make a linear regression analysis, with the journal downloading amount as the independent variable and journal cited times as dependent variable. Then they also prove the positive correlation between the journal downloading and citation behaviors by means of Pearson's correlation coefficient formula.
文摘Open-access(OA)Papers'impact research has become more and more popular in scientific evaluation,and it is also an important issue that scientific research management departments have been discussing.Since previous studies have focused on the influence of traditional literature indicators research papers,this study combines traditional literature indicators and Altmetrics indexes.This article uses the data of Chinese social science open-access(OA)papers in WoS for the past 5 years as a sample and uses descriptive statistics,correlation analysis,and regression analysis to explore the impact of traditional paper indicators and Altmetrics indexes on the use of papers.The results show that both literature indexes and social media indexes have a significant impact on the use of papers,and deepen the understanding of the impact factor of research papers.Overall,the results of this study prove that traditional literature indexes and social media indexes have an impact on the use of papers.This method promotes the role of social media indexes in the influence of paper use.Finally,the reasons for the influence factors of the paper are analyzed,and relevant suggestions are put forward.
文摘Introduction Publication Name=Neural Regeneration Research （NRR） Timespan=2008-2011. Databases=SCI-EXPANDED, SSCI, A＆HCI, CPCI-S, CPCI-SSH. Web of Science Categories： CELL BIOLOGY （938）, NEUROSCIENCE （938） Document Types： ARTICLE （922）, REVIEW （13）, EDITORIAL MATERIAL （2）, LETTER （1） Search time： 23/06/2011 A total of 938 articles published till the search time in NRR are searched, including 315 papers published in 2008, 185 in 2009, 321 in 2010, and 117 in 2011. Totally 111 papers have been cited and the total number of citations is 171. There are 76 self-citations, and 95 non-self citations, which are scattered in 85 journals. The citation situations are listed as follows.
